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Artificial Intelligence Engineer Trainee Jobs in Illinois

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Artificial Intelligence Engineer Trainee information

What are the key skills and qualifications needed to thrive as an Artificial Intelligence Engineer Trainee, and why are they important?

To thrive as an Artificial Intelligence Engineer Trainee, a solid background in computer science, mathematics, and programming languages like Python is essential, often supported by a relevant degree or coursework. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and version control systems is typically expected. Strong analytical thinking, problem-solving ability, and willingness to learn new technologies help trainees stand out in this evolving field. These skills and qualities are crucial for effectively developing, testing, and deploying AI models in real-world applications.

What are some common challenges faced by Artificial Intelligence Engineer Trainees during their first projects?

As an Artificial Intelligence Engineer Trainee, you may encounter challenges such as understanding complex datasets, managing data preprocessing, and bridging the gap between theoretical knowledge and real-world applications. Collaborating with cross-functional teams, learning to select appropriate machine learning models, and debugging code are also common hurdles. However, these challenges offer valuable learning opportunities and are typically addressed with mentorship, hands-on practice, and access to collaborative team resources.

What does an Artificial Intelligence Engineer Trainee do?

An Artificial Intelligence Engineer Trainee learns and assists with designing, developing, and deploying AI models and systems under the supervision of experienced engineers. Their responsibilities often include data preprocessing, building and testing machine learning algorithms, and supporting the integration of AI solutions into existing products or services. Trainees may also work on tasks related to natural language processing, computer vision, or predictive analytics, and are expected to keep up-to-date with the latest AI research and technologies. This role is ideal for individuals who are starting their careers in AI and want hands-on experience while enhancing their technical and problem-solving skills.
What are the most commonly searched types of Artificial Intelligence Engineer jobs in Illinois? The most popular types of Artificial Intelligence Engineer jobs in Illinois are:
What cities in Illinois are hiring for Artificial Intelligence Engineer Trainee jobs? Cities in Illinois with the most Artificial Intelligence Engineer Trainee job openings:

Artificial Intelligence Engineer

Banyan Software

Chicago, IL • Remote

$90K - $120K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Medicat is building modern software infrastructure for healthcare organizations through our platform, MedicatOne. Our mission is to simplify complex healthcare operations through intuitive software, strong data infrastructure, and intelligent automation. As we expand our platform capabilities, we are investing in AI‐driven features that improve how healthcare organizations interact with their data, workflows, and operational systems.

Position: AI Engineer (Healthcare SaaS) Location: Remote (must be inside the United States) Reports to: Chief Technology and Product Officer This is a high‐impact individual‐contributor role focused on building production‐grade AI capabilities inside a growing healthcare SaaS platform. You will work closely with product leadership and engineering to architect and deploy AI‐powered systems that interact with structured healthcare data and operational workflows. What You'll Do AI System Development Design and implement AI‐powered capabilities within the MedicatOne platform Integrate modern AI models and services into production workflows Develop systems that interact with structured application data and APIs Ensure AI features are reliable, performant, and secure Data & Informatics Work with large datasets related to healthcare operations Design systems that leverage structured data effectively Build logic that enables intelligent interpretation of operational data Collaborate with engineering on data pipelines, schemas, and analytics frameworks Platform Integration Integrate AI capabilities into existing SaaS architecture Work with backend engineers to ensure scalable system design Optimize performance of data‐intensive AI workflows Contribute to platform‐level architecture decisions Execution & Iteration Ship production‐ready AI features quickly and iteratively Collaborate closely with leadership on prioritization and implementation Help establish best practices for AI development within the organization What We're Looking For Experience 5+ years building production SaaS systems Direct experience building and implementing AI/ML or LLM‐based features Strong experience working with structured data and analytics systems Experience working with healthcare data or healthcare SaaS environments, including familiarity with regulatory, privacy, and compliance considerations (HIPAA, PHI handling, de‐identification) Demonstrated ability to build and deploy systems end‐to‐end Technical Skills You should be comfortable with: Working knowledge of modern AI infrastructure and patterns, including: LLM API integration (OpenAI, Anthropic, or similar) in production environments Retrieval‐Augmented Generation (RAG): designing retrieval pipelines, chunking strategies, and grounding LLM responses in real data Vector databases: embedding, indexing, and querying unstructured or semi‐structured data Data modeling and SQL Data pipelines and analytics workflows, and working with large structured datasets API design and backend services Experience with healthcare informatics standards or healthcare data environments is strongly preferred.

What Success Looks Like AI capabilities successfully integrated into the MedicatOne platform Production‐ready systems that interact effectively with operational data High‐quality implementations that balance accuracy, performance, and usability Scalable architecture supporting future AI development Why Join Medicat Work directly with company leadership on high‐impact initiatives Build meaningful AI capabilities in a real healthcare environment High ownership and autonomy in a growing SaaS company Opportunity to shape the future of AI within the platform Banyan is committed to equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectional or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, or protected veteran status and will not discriminate against anyone on the basis of a disability. We support an inclusive workplace where associates excel based on personal merit, qualifications, experience, ability, and job performance. The expected base salary for this position is: USD $90,000 – $120,000 excluding annual bonus and equity (when applicable).

Salary is based on several factors including market conditions, location and may vary depending on job‐related skills and experience. #J-18808-Ljbffr